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- Tasks: Support innovative data projects and create high-quality models for clients.
- Company: Join a forward-thinking analytics firm with a collaborative spirit.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact by driving change through data analysis and modelling.
- Qualifications: Experience in R and Python, with strong analytical skills.
- Other info: Dynamic work environment with excellent career advancement potential.
The predicted salary is between 28800 - 48000 £ per year.
Support the delivery of innovative technical data & analytics projects and the creation of high-quality, reproducible models, tools, and products for our clients.
Work in close collaboration with consultants and other non-quantitative specialists to deliver mixed-methods projects that drive change.
Develop statistical and systems dynamics models in R and Python, delivering robust models and quality assuring code.
Develop PPL's data & analytics capacity including the introduction of new advanced data management, analytical, modelling, and statistical methodologies for our clients.
Contribute to the development of PPL's internal tech stack for use by the data & analytics and wider teams.
Project Delivery
- Supporting the technical scoping, spinning up, and delivery of agreed technical project plans for clients across health, care, the public and third sectors.
- Consolidating activity and defining clear work packages and deliverables for teams of technical data analysts.
- Managing scope, quality, risks, issues, budgets, and resources within assigned areas.
- Ensuring effective documentation and quality assurance of deliverables and products.
Technical Delivery
- Bring a strong theoretical understanding of modelling approaches (e.g. Monte Carlo Simulations, Dynamic Systems Modelling), statistics (regression analysis, ANOVA), and tools (R studio, Python).
- Support data collection processes in collaboration with client-side technical teams based on requirements for delivering analyses.
- Design and build novel analytical methodologies, translating project requirements into clear logic, processes, and high-quality, reproducible data & analytical products.
- Maintain domain knowledge and technical proficiency to deliver data structuring and cleaning, segmentation, and model design.
- Manage a wide range of datasets, including through effective and secure information governance and data protection.
- Analyse data and interpret the outputs of analyses to identify trends and relationships in complex datasets, communicate results to lay audiences, and draw meaningful conclusions and recommendations.
Internal Infrastructure
- Contribute to the development of PPL's data & analytics tech stack, including cloud tools, analytical platforms, visualisation tools, agentic AI processes, and productivity-enhancing tools for the wider consulting team.
- Ensuring compliance with agreed PPL policies and procedures.
- Supporting the realisation of PPL’s values on both an individual and organisational level.
Junior Data Analyst in City of Westminster employer: PPL
Contact Detail:
PPL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Analyst in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your skills in R and Python. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your data analysis work, including any models or tools you've developed. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at PPL.
We think you need these skills to ace Junior Data Analyst in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Junior Data Analyst role. Highlight your experience with R, Python, and any relevant data projects you've worked on. We want to see how you can contribute to our innovative data and analytics projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your background aligns with our mission at StudySmarter. Don't forget to mention specific projects or methodologies that excite you!
Showcase Your Technical Skills: In your application, be sure to highlight your technical skills, especially in statistical modelling and data management. We love seeing examples of how you've used these skills in real-world scenarios, so feel free to include any relevant projects or coursework.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at PPL
✨Know Your Tools
Make sure you’re familiar with R and Python, as these are key for the role. Brush up on your coding skills and be ready to discuss specific projects where you've used these tools. It’s a great way to show your practical experience!
✨Understand the Models
Get a solid grasp of modelling approaches like Monte Carlo Simulations and Dynamic Systems Modelling. Be prepared to explain how you would apply these methods in real-world scenarios. This shows you can think critically about data analysis.
✨Showcase Collaboration Skills
Since the role involves working closely with consultants and non-quantitative specialists, highlight any past experiences where you’ve successfully collaborated on projects. Share examples that demonstrate your ability to communicate complex data insights to non-technical audiences.
✨Prepare for Project Delivery Questions
Expect questions about managing project scopes, quality assurance, and documentation. Think of examples from your past work or studies where you’ve had to manage multiple tasks and ensure high-quality deliverables. This will show you’re ready for the responsibilities of the role.
